Answer:
- They write step by step instructions for a computer to follow.
- They create a logic problem that the computer program can solve.
Explanation:
These are the advantages of breaking up a single logical message into a number of fixed sized packets.
- When messages are broken into packets it increases the performance and also the reliability of the internet
- if there is an error in a single packet, this error is not going to affect the entire message.
- the efficiency of the communication line in the internet is improved.
- there is a reduction of traffic. Each packet in a single message can be transmitted through different routes.
- It reduces idleness as each packet can send from different program so each program has a service.
Answer:
\n
Explanation:
readline() method is used to read one line from a file. It returns that line from the file.
This line from the file is returned as a string. This string contains a \n at the end which is called a new line character.
So the readline method reads text until an end of line symbol is encountered, and this end of line character is represented by \n.
For example if the file "abc.txt" contains the lines:
Welcome to abc file.
This file is for demonstrating how read line works.
Consider the following code:
f = open("abc.txt", "r") #opens the file in read mode
print(f.readline()) # read one line from file and displays it
The output is:
Welcome to abc file.
The readline() method reads one line and the print method displays that line.
Answer:
Explanation:
HTML attributes are a modifier of an HTML element type. An attribute either modifies the default functionality of an element type or provides functionality to certain element types unable to function correctly without them. In HTML syntax, an attribute is added to an HTML start tag.
A data lake is a type of repository that stores large sets of raw data of all types from across an organization.
<h2>What is a data lake?</h2>
A data lake is a central location in which to store all data, regardless of its source or format, for an organization at any scale.
<h3>Characteristics of a data lake</h3>
- It is low cost, easily scalable, and are often used with applied machine learning analytics.
- It allows to import any type of data from multiple sources in its native format, this allows organizations to scale in the size of the data as needed.
Therefore, we can conclude data lakes are a vital component in data management as it stores all data across an organization.
Learn more about data lakes here: brainly.com/question/23182700
